54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
import json
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import os
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import csv
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import pandas
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#directory = '/data/users/mgaughan/kkex_data_111023/'
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path_to_file = 'power_data_111023_mmt.csv'
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csv_1 = pandas.read_csv(path_to_file)
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print(csv_1)
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csv_2 = pandas.read_csv('/data_ext/users/kcz1100/kaylea_dissertation/collabnetXS/raw_data/inst_all_packages_full_results.csv')
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print(csv_2['pkg'])
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up_fac_mean = []
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pkg_name = []
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for index, row in csv_1.iterrows():
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temporary_proj_name = row['repo'][:-12].split('_')[1]
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proj_name = ""
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if '.git' in temporary_proj_name:
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proj_name = temporary_proj_name[:-4]
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else:
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proj_name = temporary_proj_name
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row = csv_2.loc[proj_name == csv_2['pkg']]
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if proj_name == "hacking":
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print("HACKING HACKING HACKING")
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print(proj_name + row['pkg'])
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print(row['up.fac.mean'])
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up_fac_mean.append(row['up.fac.mean'])
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pkg_name.append(proj_name)
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#csv_1['up.fac.mean'] = up_fac_mean
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csv_1['pkg'] = pkg_name
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print(csv_1)
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csv_1.to_csv('power_data_111023_mmt.csv')
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'''
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with open('/data/users/mgaughan/power_data_111023.csv', "w") as csv_file:
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csv_header = ['repo', 'age', 'contributors', 'collaborators', 'milestones']
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writer = csv.writer(csv_file, delimiter=',')
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writer.writerow(csv_header)
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for filename in os.listdir(directory):
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new_row = []
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f = os.path.join(directory, filename)
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if os.path.isfile(f):
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print(f)
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new_row.append(f.split("/")[-1])
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open_f = open(f)
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data = json.load(open_f)
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new_row.append(data['perceval_obj']['age_of_project'])
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new_row.append(data['perceval_obj']['contributors'])
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new_row.append(data['perceval_obj']['collaborators'])
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new_row.append(data['gha_obj']['milestone_count'])
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writer.writerow(new_row)
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''' |